A comparison of two parametric ROC curves estimators inbinormal model
2005
The receiver operating characteristic curve ROC(t) plays an
important role in many economic branches when it is necessary
to classify between two populations. There are several
approaches how to estimate it: classical estimator based on the
empirical CDF, the weighted regression estimator, the estimator
based on the best unbiased CDF estimator, non-parametric
approaches based on the kernels or bootstraping. In the
contribution the binormal model is considered and the attention
is concentrated on the comparison of two parametric methods.
The first one is the method of reweighted least squares where
weights depend on the response variable. The second one is
based on the best unbiased CDF estimator. The comparison of
both methods will be demonstrated by simulations and the
performance of both methods will be discussed for small sample
sizes.
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